LLM Archives - AI Jobs Latest

AI Lead / Architect, GFT

Staff AJL — Tue, 01 Apr 2025 18:21:13 +0000

Company	GFT
Job title	AI Lead / Architect
Job location	Łódź, Poland
Type	Full Time

Responsibilities:

GenAI POC architecture, integrations, and solution design
Design data processing architectures, data models, and pipelines
Design scalable GenAI POC solutions and agentic integrations, ensuring compliance and integrating diverse systems
Project tech leadership for POCs, design and develop AI prototype, leading AI experimentation
Manage GenAI POC projects, aligning business and tech needs, AI Agents, and applying different AI domains (ML, DS, Gen AI)
Support Azure/data solutions, migrations, and governance strategies
Master Data Management strategies: design, discussion, optimization
Planning and execution of migration of databases and data warehouses to Azure or cloud-agnostic modern warehouses
Provide technical guidance in the Data / Azure space and pre-sales support to clients and internal teams
Cooperating with client’s architects and senior technical management as an SME
Provide a “track record” to credentialize GFT as a data-savvy organization

Requirements & Skills:

Experience in designing and building software solutions using modern architectures and technologies
Proficiency in utilizing Azure AI services, with a strong understanding of common challenges encountered in real-world implementations
Hands-on experience with Generative AI Frameworks and Tools as OpenAI Python SDK, LlamaIndex, Semantic Kernel, LangChain, and Microsoft Guidance with examples of projects successfully delivered using RAG, especially within Azure environments
Data Mesh Architecture – familiarity with decentralized data architecture principles and best practices
API Orchestration – proficiency in designing and implementing API strategies to enable smooth data flow and integration
Solid knowledge of Data Governance aspects (Data Catalogs, Data Lineage, Master Data Management, etc.)
Proficiency in Python
Strong understanding of LLMs and their applications
Understanding of Software Development Life Cycle (SDLC) and AI Life Cycle (AILC)

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Lead Engineer – AI / Machine Learning, Cisco

Staff AJL — Mon, 31 Mar 2025 12:38:26 +0000

Company	Cisco
Job title	Lead Engineer – AI / Machine Learning
Job location	Seattle, Washington, US
Type	Full Time

Responsibilities:

As a lead engineer in a fast-paced environment, you will play a pivotal role in shaping the future of Cisco’s AI strategies for the next decade and beyond.
In this position, you will lead the development of AI/ML technologies for our products, revolutionizing our industry with groundbreaking AI solutions.
Working closely with diverse teams, you will spearhead multi-functional engagements to architect, design, build, validate, deliver, and successfully deploy new products.
You will collaborate closely with the AI/ML Product, Data Science Research teams, building AI/ML infrastructures and AI-powered networking solutions.
Your role will involve effective communication across engineering teams, engaging both technologists and senior business executives.
Working in partnership with developers, UX designers, and non-technical partners at Cisco, you will contribute to building the next generation of a unified experience platform.

Requirements & Skills:

Bachelor’s degree or experience with 15+ years of Software Engineering principles and System Architecture or Master’s degree with 8+ years of product engineering experience
3+ years experience with AI/ML projects
Experience in core ML/AI and deep learning technologies such as TensorFlow, PyTorch, Kubernetes, Huggin Face, Databricks, and LLM APIs
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Experience using Containerization tools, such as Docker, with a deep understanding of ML/AI application development
Experience programming in Go or Python languages
Strong personal network across generative AI /ML industry & ecosystem
Knowledge of industry trends and business needs to drive technology innovation and execution

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AIML Lead – GenAI & LLM, JPMorganChase

Staff AJL — Sun, 30 Mar 2025 14:24:21 +0000

Company	JPMorganChase
Job title	AIML Lead – GenAI and LLM
Job location	Jersey City, NJ, United States
Type	Full Time

Responsibilities:

Serve as a subject matter expert on a wide range of ML techniques and optimizations.
Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
Conducting experiments using the latest ML technologies, analyzing results, tuning models
Hands-on coding to bring the experimental results into production solutions by collaborating with the engineering team. Owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
Optimizing system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Drives decisions that influence the product design, application functionality, and technical operations and processes.

Requirements & Skills:

MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience.
At least 5 years experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
At least 5 years’ experience in applying data science, ML techniques to solve business problems.
Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
Hands-on experience with machine learning and deep learning methods.
Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search).
Ability to work on tasks and projects through to completion with limited supervision.
Passion for detail and follow-through. Excellent communication skills and team player
Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
Experience with Ray, MLFlow, and/or other distributed training frameworks.
In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
Advanced knowledge in Reinforcement Learning or Meta-Learning.
Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

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AI LLM Architecture Manager, Accenture

Staff AJL — Sun, 30 Mar 2025 14:18:42 +0000

Company	Accenture
Job title	AI LLM Architecture Manager
Job location	London, United Kingdom
Type	Full Time

Responsibilities:

Design use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patterns
Work in multi-disciplinary teams to refine and deliver architecture, supporting the delivery from inception through to production
Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers
Contribute to the Accenture Data & AI community, sharing insights and experience guiding the creation and establishment of standard patterns and templates for emerging technologies based on client delivery experience and research

Requirements & Skills:

AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, …
AI/ML architectural patterns and best practices, e.g., data drift detection, experimentation tracking, RAG, deployment models
Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA, …) on one or more cloud platforms
SW Engineering and DevSecOps
Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
Certified Cloud Architect
Experience in delivering production AI/ML services for scaled end-user consumption

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Solutions Architect – LLM & LangChain, Unique Computer Systems

Staff AJL — Sun, 30 Mar 2025 14:14:27 +0000

Company	Unique Computer Systems
Job title	Solutions Architect – LLM and LangChain
Job location	Remote
Type	Full Time

Responsibilities:

Building LLM-Powered Applications with LangChain

Requirements & Skills:

Good knowledge of the fundamentals of Language Models (LLMs) and their significance in building intelligent applications.
Hands-on experience with in-context learning, domain-specific model fine-tuning, and prompt engineering.
Experience in the integration of LangChain into application development workflows and the utilization of its APIs
Insights on what can be done with Langchain
Interact with various LLMs using Langchain
Create a conversational chatbot using LLM
Finetuning LLM with langchain
Python
Experience with tools and frameworks popular in the LLM and NLP communities, such as LangChain, LlamaIndex, PyTorch, and TensorFlow
Familiarity with Linux operating systems and containerization technologies like Docker and Kubernetes.

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Sr. Data Scientist, Loblaw Companies Limited

Staff AJL — Thu, 27 Mar 2025 16:47:41 +0000

Company	Loblaw Companies Limited
Job title	Sr. Data Scientist
Job location	Brampton, Ontario, Canada
Type	Full Time

Responsibilities:

Data Engineering/ETL: Design, develop, and maintain robust ETL pipelines using cloud-based technologies (such as Airflow and PySpark) to extract, transform, and load large and complex datasets.
Model Development: Build, train, evaluate, and deploy data science models and algorithms to address critical healthcare challenges without supervision.
Statistical Analysis: Use your expertise to conduct rigorous statistical analyses, including hypothesis testing and A/B testing, to draw meaningful conclusions from data.
Insight Generation: Uncover actionable insights from complex data, and communicate findings effectively through compelling visualizations and presentations.
Collaboration: Work closely with cross-functional teams, including pharmacists, analysts, and engineers, to translate business requirements into technical solutions.
Innovation: Stay abreast of the latest advancements in data science and machine learning, and explore innovative approaches to solve complex problems.
Take ownership of the development and implementation of complex Data projects, and mentor junior team members.

Requirements & Skills:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
5+ years of industry experience in building, training, evaluating, and optimizing machine learning models, with a strong focus on model development and deployment.
2+ years of industry experience generating actionable insights from data and telling stories from complex data.
2+ years of industry experience in statistics, hypothesis testing, A/B testing, and experimental design.
Solid experience and understanding of data science methods such as Time Series, Regression, Classification, Clustering, Deep learning, NLP, GenAI, etc
Extensive industry experience in data ETL pipeline automation on cloud-based tools (preferably using AirFlow and PySpark).
Proficiency in Python, SQL, Pandas, Scikit-Learn, Airflow, and deep learning tools such as Keras or Tensorflow.
Excellent written and verbal communication skills with the ability to clearly articulate complex ideas in a concise manner
Understanding the healthcare domain, with a passion and desire to make a positive impact.

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